Triple

T5618409
Position Surface form Disambiguated ID Type / Status
Subject Lumajang Regency E147536 entity
Predicate capital P234 FINISHED
Object Lumajang E147536 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lumajang | Statement: [Lumajang Regency, capital, Lumajang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lumajang
Context triple: [Lumajang Regency, capital, Lumajang]
  • A. Lumajang Regency chosen
    Lumajang Regency is an administrative region in East Java, Indonesia, known for encompassing part of the area around Mount Semeru, the country’s highest volcano.
  • B. Banyuwangi
    Banyuwangi is a coastal city at the eastern tip of Java, Indonesia, known as a gateway to the Ijen Crater and Bali and for its rich Osing culture.
  • C. Blitar
    Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
  • D. Nganjuk
    Nganjuk is a regency capital and regional urban center in the province of East Java, Indonesia.
  • E. Jember
    Jember is a regency and major urban center in eastern Java, Indonesia, known for its agricultural economy and cultural festivals such as the Jember Fashion Carnaval.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021dd5d0081909d18d16596fac507 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287d9d7081909a1b2510565b55fc completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:40 p.m.